Faculty Advisor

Pahlavan, Kaveh

Abstract

The pursuit of a more accurate localization technique has been a challenge throughout this past decade. After the release of Google Indoor Maps, Wi-Fi localization has an increase in demand. The purpose of this MQP was to create a hybrid localization algorithm that uses Wi-Fi as a foundation, and utilizes Radio Frequency Identification and Ultra Wide-Band sensors. We test each sensor in order to evaluate their individual performance in terms of localization accuracy. Ultimately, we combine each sensor in MATLAB using Kalman Filter and a geometric algorithm.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2015

Major

Electrical and Computer Engineering

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Electrical and Computer Engineering

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